RRepoGEO

REPOGEO REPORT · LITE

shubham0204/SmolChat-Android

Default branch main · commit d7789c2e · scanned 6/3/2026, 9:07:12 AM

GitHub: 834 stars · 142 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface shubham0204/SmolChat-Android, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a strong introductory paragraph to the README

    Why:

    COPY-PASTE FIX
    SmolChat-Android is a powerful application designed to run any GGUF Small Language Models (SLMs) and Large Language Models (LLMs) directly on your Android device, enabling fully local and on-device AI inference. It provides a user-friendly interface to interact with these models offline, without relying on cloud services.
  • highhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://your-project-homepage.com (Replace with your actual project homepage URL)
  • mediumtopics#3
    Expand repository topics with more specific LLM/AI keywords

    Why:

    CURRENT
    android, cpp, ggml, kotlin, llamacpp, small-language-models
    COPY-PASTE FIX
    android, cpp, ggml, kotlin, llamacpp, small-language-models, llm, on-device-ai, mobile-ai, generative-ai, offline-llm

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface shubham0204/SmolChat-Android
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MLC LLM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MLC LLM · recommended 2×
  2. llama.cpp · recommended 2×
  3. MediaPipe · recommended 2×
  4. TensorFlow Lite · recommended 2×
  5. LM Studio · recommended 1×
  • CATEGORY QUERY
    How to run large language models directly on an Android phone?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. MLC LLM
    3. llama.cpp
    4. Termux
    5. MediaPipe
    6. Qualcomm AI Engine Direct
    7. TensorFlow Lite

    AI recommended 7 alternatives but never named shubham0204/SmolChat-Android. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable local GGUF model inference within Android applications?
    you: not recommended
    AI recommended (in order):
    1. llama.cpp
    2. MLC LLM
    3. MediaPipe
    4. TensorFlow Lite
    5. ONNX Runtime
    6. llama-cpp-python
    7. PyTorch Mobile

    AI recommended 7 alternatives but never named shubham0204/SmolChat-Android. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of shubham0204/SmolChat-Android?
    pass
    AI did not name shubham0204/SmolChat-Android — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts shubham0204/SmolChat-Android in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shubham0204/SmolChat-Android explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo shubham0204/SmolChat-Android solve, and who is the primary audience?
    pass
    AI named shubham0204/SmolChat-Android explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of shubham0204/SmolChat-Android. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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shubham0204/SmolChat-Android — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
shubham0204/SmolChat-Android — RepoGEO report